AI, Personalization, Equity, and the Future of Learning (Paperback)

Viktor Wang

ISBN 13: 9798337350981

Verlag: IGI Global, 2025

Beschreibung

Paperback. The integration of AI into education has redefined how learning is delivered and measured. There is great potential for AI to drive a more personalized learning experience while also tailoring instructions to a person s individuals needs. While there are promises to enhance engagement and achievement, it also raises critical questions about equity and access. As we envision the future of learning, it is essential to explore how AI can be harnessed not only to support personalization but also to bridge educational gaps, ensuring that innovation benefits all learners regardless of background or circumstance. AI, Personalization, Equity, and the Future of Learning explores the transformation of AI in education and its impacts on personalized and equitable learning. This book provides a critical lens on equity and access, encouraging the development of inclusive AI-driven solutions that benefit diverse learners worldwide. Covering topics such as academic research, speech recognition tools, and workforce readiness, this book is an excellent resource for researchers, educators, administrators, policymakers, instructional designers, academicians, and more. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Bestandsnummer des Verkäufers 9798337350981

Bibliografische Details

• Titel: AI, Personalization, Equity, and the Future of Learning (Paperback)
• Verlag: IGI Global
• Erscheinungsjahr: 2025
• Sprache: Englisch
• ISBN-13: 9798337350981
• Einband: Paperback
• Zustand: new

Über diesen Titel

Inhaltsangabe

The integration of AI into education has redefined how learning is delivered and measured. There is great potential for AI to drive a more personalized learning experience while also tailoring instructions to a person s individuals needs. While there are promises to enhance engagement and achievement, it also raises critical questions about equity and access. As we envision the future of learning, it is essential to explore how AI can be harnessed not only to support personalization but also to bridge educational gaps, ensuring that innovation benefits all learners regardless of background or circumstance. AI, Personalization, Equity, and the Future of Learning explores the transformation of AI in education and its impacts on personalized and equitable learning. This book provides a critical lens on equity and access, encouraging the development of inclusive AI-driven solutions that benefit diverse learners worldwide. Covering topics such as academic research, speech recognition tools, and workforce readiness, this book is an excellent resource for researchers, educators, administrators, policymakers, instructional designers, academicians, and more.

Über die Autorin bzw. den Autor

Dr. Viktor Wang , is a globally recognized professor and leader in the field of Education in the Department of Educational Leadership and Technology at California State University, San Bernardino. His distinguished career is marked by innovation, scholarship, and mentorship. With more than 240 peer-reviewed publications, Dr. Wang has made transformative contributions to academic research and thought leadership. His work has inspired over 200 scholarly articles and more than 1,500 book chapters contributed to his edited volumes and journals by scholars around the world. His publications are widely respected and housed in top-tier institutions, including Stanford University Libraries and other globally renowned academic collections. Dr. Wang has received numerous prestigious honors, including the 2016 Presidential Award for Exceptional and Innovative Leadership from the American Association for Adult and Continuing Education (AAACE), as well as institutional recognition such as the Distinguished Faculty and Scholarly Achievement Award from CSULB. A dedicated mentor, Dr. Wang has successfully guided more than 80 doctoral students through dissertation completion. His leadership has also driven measurable institutional outcomes, including enrollment growth, the launch of innovative academic programs, and the establishment of international educational partnerships.